Data Scientist for AI Evaluation
Amazon.com, Inc.
Seattle, WA, United States
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$41,600.0 - $83,200.0
Working hours
Regular working hours
Job source
Tech stack
A/B Testing
Artificial Intelligence
Python (Programming Language)
SQL Databases
Information Technology
Job description
Join a leading AI research organization as a Data Science Expert, where you will play a crucial role in evaluating the performance of AI systems in real-world data science tasks. This position focuses on defining excellence in data science work by creating task-specific grading criteria and rigorously scoring completed work samples with well-reasoned justifications. Key Responsibilities
- Design precise, task-specific grading criteria for real-world data science deliverables, including analyses, models, dashboards, experiment readouts, and written recommendations.
- Score AI-generated and human work samples against established criteria, providing detailed written justifications for each score.
- Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible.
- Incorporate structured feedback from senior reviewers and iterate quickly on your work., Role Overview As a Computer Science Specialist, you will leverage your advanced expertise to support projects that train next-generation AI systems. Your contributions will direc…
- 2 days ago
Requirements
- 5+ years of professional data science experience in industry.
- Background in business operations, product, or growth data science at top-tier technology companies.
- Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders.
- Exceptionally strong written communication skills.
- Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers.
- Prior experience with AI training, evaluation, or human-data projects is a strong plus.
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